BEHAVIORAL SYSTEMS ANALYSIS:

TACTICAL ISSUES


The generic characteristics of general systems impose a variety of specific theoretical /methodological requirements for their full description. We have yet to establish several of these in specific detail. As noted thus far, any system requires that we apply strategies which are sensitive to, or appropriate for, assessing: (a) the defining structural characteristics of the system, including the system's boundaries, its constituent elements, and its environmental field. (b) the governing organizational rules of the system with regard to the mutual implications of elements and their interactions with field conditions; (c) the functional, or purposive, accomplishments of the system referenced both to the system itself (e.g., self-maintenance, homeostatic balance, etc.) and externally (e.g., systemic "by-products"); (d) the temporal organizational rules governing the operations of the system; and (e) the relation of a given system to other similar systems with which it might temporarily integrate. However, to appreciate more broadly the strengths, weaknesses, and issues attending behavioral systems theory and its required methodology, it is also very important to consider full implications of some fundamental assumptions underlying field/systems research strategies and tactics; especially the descriptive-phenomenological basis of descriptive scientific research in the behavioral sciences (which, in fact, is a basis shared by all other scientific fields as well).

The Descriptive-Phenomenological Foundations of Behavioral Systems Research

We have already alluded to Kantor's conception of the psychological event as a requisite foundation for behavioral research. We also noted the fact that Kantor included the investigating scientist as a field factor. Figure 14 illustrates all attending field factors from this point of view. These include: the observing scientist, the active organism, the environment, and the temporal setting conditions of past, present, and projected future conditions. This model, in fact, establishes our position on two important issues: (a) how behavioral systems shall be defined, and (b) the role of the investigator in the system. We briefly turn to the implications of our stand on these issues.


FIG. 14. Adaptation of the logo for the Interbehavioral Newsletter which diagrams the attendant factors in Kantor's Psychological Event. The role of the observer is explicit in Kantor's model, as well as functional interactions between environmental and organismic events which occur across some media of contact and within some field/setting conditions, including historical events.

 

Definition of the behavioral system. In addition to points already made regarding the constituent elements of the psychological system, let us again emphasize the fact that behavioral systems are not solely organism-oriented. That is, biological organisms may behave, but this alone does not constitute a behavioral system. Organismic and environmental interactions within the context of historical and attendant setting conditions define the fundamental elements of a behavioral system. And those we know about scientifically also incorporate an observing party as an important part of the field conditions. Behavioral systems analysis is thus directly analogous on two counts to Heisenberg's famous uncertainty principle, which specifies that light projected into an atomic system makes either velocity or position unknowable, because the observational light particles interact with those being observed. Behavioral systems also involve the uncertainty factor that knowledge about behavioral systems is always restricted by the fact that observed systems are all we can know about. Such systems always involve the field factor of the observing scientist, even if that factor is minimized by the exclusive use of "unobtrusive" measures (cf., Webb, Campbell, Schwartz, & Sechrest, 1966). Furthermore, there is an explicit uncertainty (i.e., complementarity) between structural and functional descriptions of a system. One cannot absolutely ascribe a given function to structural elements, nor given structural requirements to a functional element. All human hands, for example, are similarly structured, but produce a multitude of functional outcomes, including art, architecture, and engineering products. Likewise, common functions accomplished by these products may find the products constructed with quite a variety of structural variations and physical compositions. Because we have already discussed this issue in previous sections, we will elaborate further only on the role of investigational uncertainty.

Role of the investigator. The primacy of observational events as phenomenologically experienced by the observer (i.e., as empirically established via the observer's sensory capacities and/or instrumented extensions of same) is always represented to the scientific community only secondarily via the observer's descriptions of the events. Although replication may allow us individually to experience similar primary events ourselves, the real stuff of science is in the communicated measurement (i.e., description) of events observed, not in the events themselves. All measurement essentially begins with verbal descriptions, even if descriptions are eventually refined into more precise terms, such as quantitative measures. As such, systems methodology, like previous methods, requires close scrutiny and tight, if sometimes different, rule governance regarding how observations are to be selected, recorded, and communicated. In fact, describing the observer's role in the system is as crucial a specification in behavioral systems analysis as in the description of any other component of the system (Ray, 1977). This, of course, suggests the need for a rather elaborate descriptive system for organizing the varieties of observer behaviors, as well as those of the observed system (cf., Boice, 1983). That is yet another purpose of the present survey of systems strategies and tactics: to systematize heretofore poorly organized methodological nosology (i.e., descriptive theory) regarding the analysis of behavioral systems.

It should be clear by now that all forms of description are actually symbolic representational systems which replace the primary events being described. Most of the time these symbolics emanate exclusively from the observer and do not include descriptions by the primary subject in the behavioral system. Classical phenomenology stresses the importance of comparing observer descriptions of events with those of the participants as well. Thus it may be argued that a subject's descriptions reveal, at one level, some rules of the primary system perhaps even better than descriptions by the observer, because the observer's descriptions are governed more by externally prescriptive (i.e., methodological) rules, rather than organizational rules governing the internal systemics. Eventually, the strength of any methodology lies in its ability to assure a maximal coupling between primary events being described and the events of actually describing. Such accuracy of description, of course, is a function of discrimination training in the use of appropriate language (a historical setting factor) and may apply to scientist and subject alike.

Modes of Description

Although all scientists are formally trained in the art of objective observation, most of this training addresses the mechanics of control and quality assurance via suitable methods and procedures (i.e., experimental design factors) guiding the how and what of observation, rather than issues of best translating the event observed into the description of the event. As such, many of those trained in experimentation find themselves somewhat at a loss in the initiation of descriptive research. Issues like "how does one build appropriate category systems" and "how does one assure consistency of categorical resolution" are often voiced, but rarely addressed formally.

Because description, whether by subject or observer, is a reaction to primary events within a system, it is useful to recognize some varieties of description systems. It is sometimes difficult to separate symbolic description (i.e., substitution of descriptions for primary events being represented) from primary events, since verbal reactions to events may be argued as primary, in that they rely upon the described system as a functional stimulus to prompt observers' reactions. Since interactions are the stuff of all behavioral systems, the representation of the system is as much a part of the systemics being described as are any other event components. Nevertheless, it is clear that observers leave their own interactions with observed subject systems using a variety of symbolic substitutes, or representations, of those events as description. Among these are: (a) informal, or "culturally-based," linguistic descriptions typical of naive observers; (b) scientific-procedurally prescribed "formal" linguistic descriptions; (c) demonstrative descriptions; (d) mathematical descriptions; and, finally, (e) emotively expressed descriptions. Each mode of describing has its own typical level of resolution and utilization, its own rule governance (logic), and its own place in communication. However, traditional science clearly favors some over others, and even aspires to the specific elimination of a few. While historical trends and developments, such as publication practices, have biased the scientific community in their utilization of some forms over others, behavioral systems analysis prefers to recognize the convergent utility of all taken collectively and considers each on its own merits of unique contribution to the full systemic description.

Informal linguistic descriptions. When human observers experience a unique phenomenon, it seems almost inevitable that they translate various aspects of their experience into a language-based description. Whether they describe it subvocally to themselves, talk to others about it, or write about it, if the impression is lasting, they most often convert it to words. In circumstances where several others experience the same phenomenon, a "localized cultural" (i.e., socially shared) language is often formed for communicating aspects of the event. By this we mean that a standardization of terms often occurs whereby socially shared experiences are given singular labels. These labels reduce the complexity of original, almost groping, descriptions which are more lengthy and convergently redundant, and they aid communication where uncertainty of reference is a possibility. Thus, as anyone knows who has ever developed a more formal descriptive research category system, formal categories typically are not where descriptive research starts, but rather represent a stage of eventual refinement. What gets refined are the virtually naive descriptions which often mark the pilot and/or qualitative stage of descriptive research.

Cultural anthropologists and field primatologists are perhaps best known for applying informal linguistic procedures for description. They collect reams of field notes for later systematization and/or formal interpretative analysis (cf., Trend, in press). As such, these scientists share with all other scientists the establishment of their own technical, descriptive, and closely shared cultures via their generation of jargonistic terms to represent and compare the various events under study. Whether they recognize it or not, all researchers, not just field scientists, begin research at this informal linguistics level-if their investigational system is relatively new to scientific investigation. Therefore, it is relevant to consider the character of informal linguistic descriptions on a broader scale.

For example, before Ray et al. (1977) began to generate the formal categorical descriptions of killer whale behavior cited earlier (see Figure 3), they had many informal conversations with animal trainers who shared similar histories of experience with this species. These trainers are examples of the localized culture of descriptive language that emerges around closely shared and unique phenomenal experiences. For example, trainers will often, with apparently precise communication among themselves, speak of an individual animal as being "squirrelly" during show performances. Because the scientific literature on learning/performance maintenance offers little to enlighten such references, Ray et al. assumed a new phenomenon might well be implied. As with these researchers, without lengthy discussions and convergently defining descriptions as guides, readers may assert their own naiveté regarding animal training culture and may acknowledge sharing little direct experience in identifying what "squirrelly" means either. Most readers would hardly be expected to know a "squirrelly" animal from a "normal" one. Nevertheless, they might well jump to analogy building and assume that the behavior of killer whales might occasionally mimic those of squirrels in form, speed, predictability, etc., and thus could easily justify the translation from the noun "squirrel" to an adverb describing "squirrelly actions." Only further, and highly analytic, participation with the describing culture really allows such hypotheses to be confirmed and/or rejected. As it turns out, squirrelly appears to be a term relating to an animal's likelihood of responding to discriminative cues with inappropriate, unpredictable, and often fleeting behavior just prior to carrying through with what is eventually appropriate behavior to the command signal.

Informal linguistic descriptions rely heavily upon a certain naive and/or unstudied substitution of language for primary events. But closer inspection of this process reveals a variety of implicit problems which require further assessment. Because informal descriptions, whether by subject or observer, typically start with this localized cultural language and usually take the form of multiple complete sentences, a formal analysis of informal descriptions relies upon relatively standard procedures typical of formal linguistics and/or textual analysis (Hockey, 1980; Oakman, 1980). By analyzing observers' and subjects' sentence structures and domains of reference, including their inclinations to use personal pronouns versus nouns, their use of adjectives and adverbs as qualifiers, their usage of verbs and verb tenses, and their incorporation of spatial and object references, as well as relational terms as reflected in prepositions and other autoclitics, we can begin to discern precisely what about the system under investigation is prompting the observers' descriptive attention.

For example, a study by Ray, Griffiths, and Wruble (1987) explored the hierarchy of naive observers' inclinations to use different domains of descriptions when observing a typical behavioral data source (baboons on videotape) for the first time. They further assessed the implications of multiple viewings and the impact of still versus moving pictures as sources of events to be described. They found that the majority of naive subjects' descriptions included references to both the action of the baboon subjects and the objects upon which that action was directed. Yet a sample of 37 categorically based professional studies on baboons (Griffiths, 1987) demonstrated almost no formal categories for including specific objects of behavioral interaction in the description, other than social objects (i.e., other baboons). Interestingly, this inclination for naive observers to focus upon action-object descriptions is more consistent with the behavioral systems approach as herein defined than is the majority of the professional primatology studies reviewed by Griffiths. But it is also clear from the Ray et al. (1987) study that the temporal demands imposed by events on observers are most often ill suited to linguistic reactions. Complete sentences, which typify informal linguistic descriptions, tend to be slowly constructed relative to the typical speed of ongoing behavioral interactions. Like a football game being followed via descriptions over the radio, most of the action details are lost and only highly selected aspects are described. Many elements may be skipped over, more as a matter of keeping pace than as one of reflecting the primacy of those events that are selected for description. Such temporal demands often lead researchers to utilize supportive technologies such as video recordings and to slow, freeze, or even replay event sequences for the advantage of more encompassing descriptions. Nevertheless, multilayered events frequently remain problematic in informal linguistic descriptive systems.

Thus observers are often prodded to find a more inclusive way of describing events. For example, imagine if musical performance requirements of participating artists in a musical symphony were only verbally described to the performers. Musical scores are far superior descriptive systems for guiding such intricate human-instrument interactional sequences. Such concerns and needs as these give rise to refinements in verbal description systems which allow for more precise, punctual, and often multilayered (i.e., multidomain) verbal description via formalized category systems.

Formal linguistic description: Nominal and ordinal measurements. Formal linguistic description is the most widely recognized and aspired-to level of language-based measurement in science (Stevens, 1959). At this level, linguistic descriptions are reduced to singular terms, or nominal categories of measurement, wherein frequency counts are possible via simple recognition/recording mechanics. Thus language at this level is formalized by virtue of highly prescriptive procedures that guide selection, recognition, communication, and definition of terms to fit phenomena. Further, systematic observation is typically included via the application of rules that guide us procedurally in when, where, and to whom our observing and describing is applied. As such, we formalize consistency of domains to which our attention is to be focused.

Formal linguistic category systems typically begin as nominal measurements with identification of specific noun and verb terms (Stevens, 1959). This is the well known taxonomic approach of classifying phenomena into unified mathematical sets with attendant inclusion/exclusion of set-element identification (thus the frequency counting inclinations). Later, such categorical measurement systems may occasionally be refined to include quantifying adjectives or adverbs, such as small, medium, large, or slow, moderate, and quick. In such cases, ordinal descriptions are included which define the boundaries of mathematically identifiable subsets (Stevens, 1959).

Unfortunately, informal-to-formal linguistic translations are rarely discussed or illustrated in the scientific literature. Systematic methodological research at this level is hardly deemed sufficiently important by most to warrant publication, and few journal policies support manuscript acceptance reporting such research. However, the systems perspective suggests that it is important to better understand this process of refinement (i.e., the selectivity in retention/rejection of descriptive domains and categories) which marks transitions from informal description to formalized category systems. Ray and Wruble (1986) conducted empirical research on this neglected question. (We gratefully acknowledge The MacArthur Foundation for financial support and Dr. Orville Smith and his colleagues at the Regional Primate Research Center, University of Washington, Seattle, for making available the physical and collegial resources which made this study possible.)

Neither Ray nor Wruble had any personal experience observing baboons prior to an initial investigation conducted to establish a comprehensive descriptive category system sufficient to support a systems-oriented research project on somatic-autonomic coupling dynamics under setting conditions involving social reorganization. As such, their initial preliminary narrative descriptions of this species may be considered as those of quite naive observers. Ray and Wruble observed a group of five baboons consisting of two adult males, two adult females, and a female infant living in a large indoor enclosure. Analyses were ac
complished via a series of stages, the first being the generation of a straightforward informal linguistic narration describing details from three hours of videotaped midday activity using the infant as the focal subject. The infant was chosen because of both her broad behavioral variety and her relatively rapid rate of interaction with her physical and social environment. They thus obtained samples of a wide variety of interactional events within this relatively short time.

The videotape was subsequently replayed both in real time and in slow motion while Ray and Wruble discussed each action sequence and its attendant properties. This discussion culminated in a descriptive narrative account that was subsequently used to determine key domain references and probable categories detailing these domains. This involves a form of phenomenological -linguistics analysis that probes for generically related domains of descriptive reference (including domains of behavior, location, object involvement, directional orientation, social individuals supporting interaction, etc.). This step was used to identify all potentially relevant domains for which exhaustive categories needed to be developed and operationally defined. This also supplied a relatively detailed, albeit preliminary, list of such categories as well. This preliminary categorization system was then used to transduce the entire three hours of videotaped data. This process identified any categories and/ or domains potentially missed in the first stage, but still considered relevant to the study's primary purpose.

The next step toward formalization involved application of the preliminary category system to the analysis of approximately three hours of videotaped data focusing on another subject in this same group-the subordinate (beta) male. A coded transcription of this tape generated still further confirmation and refinement of the domain/category system. This eventual product seemed, at least to other trained researchers familiar with the species and intention of description, highly adequate for the task of reconstructing all vital elements of any given interaction by any subject, whether under isolate or social circumstances. Table 2 gives a summary of this category system and reflects the retained domains as well as the inclusive descriptive categories necessary for describing the elements of that domain. Thus actual scoring, following the domains listed in Table 2, began with a notation of the exact time, in terms of hour, minute, and second (HMS), on the videotape that a change in any domain actually occurred (column 1). Second, any relevant spatial objects and spatial zone were noted (column 2 and 4 respectively). The subject's direction of orientation, postural activities, head activities, etc. were noted (columns 3-5-9), in addition to a subject's relationships (column 10) with physical/social objects (columns 12-13). Column 11 notes any physical versus zone types of contact with social objects (i.e., other baboons).

TABLE 2. First-stage Category system Developed for Describing Baboon-environment Interactions by Ray and Wruble (1986).

The coded narrative from this analysis was then subjected to empirical "linguistic reconstruction," or transliteration analysis, which represents the more unique and empirically oriented efforts to understand the process of linguistic formalization. A computer program, following standard grammatical and syntactic rules of sentence construction, reconstructed a narrative-based verbal transliteration of the coded data file, including all elements involved in each consecutive event recorded. Table 3 gives an illustration of only a brief, but relevant, segment of the computer file format of these coded data. In this table, the domains of Table 2 have also been coded into a two-letter heading, and the categories are coded according to the capitalized letters in each as depicted in Table 2. Only those domains that changed are entered, and the stable categories are merely represented by two periods (thus noting a continuation of that state). Table 4 offers the computer-generated transliteration of the data in Table 3 and illustrates how the coded data are formed back into narrative English sentences. The intent here is to translate a simple two- letter coded sequence back into a clear and understandable sentence which reflects the code's full meaning and relationship with other domains. Thus the first coded line of Table 3 begins with BM as the subject's identification code (ID) and the time (00 39 16 86) to the nearest thousandths of a second on the digital time code generator. Next, the subject's zone (A5) and direction (S) are given, etc. The transliteration of this information replaces BM with "The focal subject for this description is the beta male, Alfred," and the A5 zone with "is located along the north fence/wall near the middle of the shelves" (Figure 4, lines 1-4). The "s" code translates into "and is facing south" (line 4). The remainder of the file is similarly decoded.

 

 


This analysis subjects the coding system to a complete assessment regarding precision of linguistic syntax and the existence of potential reference ambiguities. Ambiguous or missing references become quite obvious from such an analysis, as evidenced in lines 23 through 26 of Table 4. The text describes a subject who is shifting from being located near another subject to the position of being above himself! In addition, he is identified as receiving social contact with himself. Both of these are totally in violation of reality, but they are logical extensions of the way categories within certain domains (i.e., relational, orientational, and physical contact) normally relate to categories of other domains (i.e., objects and animals as social individuals). It is grammatically correct to have some nouns as objects of prepositions and as predicates, but others function somewhat more exclusively. For example, self and other animals represent such an exclusionary distinction. This is not always obvious until a relatively formal analysis of the implicit linguistic relations among categories and/or domains are actually studied empirically and their reflection of reality confirmed. Formal linguistic/stylistic analysis thus serves as one for of "quality control" in the formalization of categories which derive from informal linguistic origins.

Other problems arise with categorization of informal linguistic descriptions as well. For example, researchers highly schooled and/or experienced in category-building technologies often identify with problems of appropriate (and consistent) "levels of resolution" between categories, consistency of domains of reference (cf., Purton's 1978 discussion of structural/functional conflation and Schoenfeld's 1976 discussion of the "response" in behavior theory), and even problems of boundary clarity. Such problems, while being tactical in nature, unfortunately are too complicated to address here. Nevertheless, these problems clearly are related to issues of linguistic formalization and referential consistency.

Formal linguistic systems enable researchers to observe and record several aspects of a phenomenon nearly simultaneously and hence overcome the linearity of informal language. This is the approach embodied in musical notation systems, where specific aggregates of notes are both nominally ("A" versus "C") and ordinally represented (i.e., musical notations indicate not just high/low notes, but also tempo, intensity, etc., all of which are identifications of a variety of ordinal domains of parametric note variations). Nevertheless, even formal linguistics are often found lacking in power and application. Some observers recognize the limitations of linguistic descriptions and record events by other representational strategies, many of which may be identified as demonstrative description.

Demonstrative description. Although the simplest form of demonstrative description is the direct pointing to events as they occur in socially shared situations (or the restaging/replication of those events), perhaps the more familiar demonstrative description in science is the use of drawings of the original phenomenon and/or summary graphics (Tufte, 1983). Musical scores, as noted, symbolize both instrument layout and intended playing sequences (including the temporal characteristics required) by the use of a special kind of graphic plotting system to guide musicians' behaviors. More detailed, and representational, graphics were used as description as far back as the invention of hieroglyphics. Leonardo da Vinci perhaps saw the greatest utility in wedding the graphic arts to science, as his copious notebooks will attest. And the Dutch Renaissance painters of the 16th century brought pictorial representation as description to its near epitome (cf., Alpers, 1983) well before photography was invented to serve the same purpose. Later, impressionistic painters preferred to abstract the events they witnessed, reducing them only to essential and/or emphasized form and color relationships. Movement was finally added to the pictorial descriptive arts via cinematography which had a very immediate and dramatic scientific impact beginning with Muybridge's (1887) recordings of human and animal locomotion.

Sports participants and performing artists, such as dancers and musicians, historically have been trained using demonstrative descriptions and apprenticeships with those who can demonstrate (i.e., coach) how movements should be accomplished. This transmission of motoric knowledge is very much based upon appropriate communications about selected time-space-movement sequential integrations. Only recently, however, has demonstrative coaching been approached scientifically. Interestingly enough, the most effective demonstrative description performers can use to improve their skill is a type of cybernetic feedback which compares their own performances against some external standard or goal (Atwater, 1980; Miller, 1979; Suttie, 1983). This can be achieved and even permanently archived with mathematical precision by wedding video/film and computer technologies--thereby allowing even the performing arts to meet the highest levels of scientific accountability.

A pilot project by Grady and Ray (1975) illustrates the mechanics, as well as the broader implications, of kinesiological research and its potential relations to demonstrative description in the form of modeling. These investigators illustrate several aspects of this approach. They described a rat in a traditional operant conditioning chamber both before and after bar-press training. Usual descriptions of behavior in such a situation, if multiple behaviors are described at all, rely upon the use of structurally or functionally defined nominal categories, such as those reported by Ray and Brown (1975, 1976), and typically include such categories as walking, rearing, head exploring, object manipulation, scratching, grooming, etc. In the pilot study, however, kinesiological techniques (Kelley, 1971; Plagenhoef, 1971) involving the filming of subjects from two convergent spatial perspectives were added to the traditional applications of these descriptive categories. The three dimensional coordinates, as determined from the filmed data analysis, were used to calculate the angle subtended between key skeletal units, and between skeletal and the environmental support (i.e., the floor). From such extrapolations, stick-figure drawings of both the subject's anatomical configuration and the subject's relation to a chamber reference could be reconstructed second-by- second. Simultaneous descriptions using both these angular measures and the nominal categories allow, of course, detailed descriptive statistical summarization of the variations in body structure associated with each nominal category. For example, Figure 15 illustrates the simple means of just a few of these assessments where the angle subtended between head and torso is the considered angle.

 

Fig 15. Illustrations of average interior and exterior angle subtensions in rats during five different behavioral conditions. Angles are determined via a three-dimensional measurement strategy adapted from kinesiology. Internal angles are measured via hypothetical lines depicting the angle of the head/body, while external angles are the body line extended to intersect the horizontal surface (from Grady and Ray, unpublished).

Digitized three-dimensional graphic modeling uses precise stick-figure or body-surface cartooned graphic representations based on measures of the anatomical substructures (i.e., the skeleton) supporting movement in time and space. These representations are then used to understand, via biomechanical formulae and graphic status/goal representations, even the most subtle nuances of skilled performances. And, as noted, magnetic storage media allow the archiving and recovery of these descriptions for eventual comparison/applications purposes. Any given expert or performance skill (i.e., motor knowledge) so analyzed is retained for any future reference. This new source of knowledge storage, retrieval, and transmission is much more complete than film archiving technology. It is three-dimensional, or virtually holographic, allowing comparison with other instances of the movement or even with standards of qualitative variation, as, e.g., established by an expert performer. Furthermore, this methodology makes possible unique opportunities for testing mathematized model descriptions of behavioral events, even before they happen.

Mathematical description. By now it should be obvious that the reduction of any description to its most fundamental symbolic representation is often desirable and useful. If its temporal/spatial representation can be included, all the better. Eventually, scientists have come to believe that the most formal, fundamental, and parsimonious descriptions of systems should reduce to the numeric and/or pure-symbolic representations that make up mathematical systems. By achieving such representations, we are often able to move quite beyond the phenomenal world and into worlds otherwise unknown to our experiences. These include the worlds of partial derivatives, multidimensional spaces, and calculated realities beyond our capacity to measure.

The behavioral systems methodological perspective reveals that mathematical description serves much like verbal description but is at a higher level of sophistication where relational concepts, like standard deviations and second derivatives, are much more easily rule governed and quality controlled than verbal techniques would ever allow. Nevertheless, words and pictures will always have their place beyond being mere stepping stones to mathematization. Relational concepts like is (=) and isn't (=/=), greater and lesser (<,>), etc., come easily to mathematics, but won't and can't are harder concepts to accommodate mathematically. So what is the advantage to mathematizing? The logic is more obvious and consistent (i.e., the symbolic system is more deterministic). However, even that asset is associated with difficulties as exemplified by the reality problems of trying to conceptualize the perfectly logical 1/2 derivative of a variable state or the inability to complete movements across a finite distance by traversing half the remaining distance in each move (for further examples of such linguistics-driven dilemmas, see Ryle, 1964).

Emotive description. The reality of science as a social-psychological endeavor raises another complexity for event description--one which we refer to as emotive description. All descriptions, as we have pointed out, are really observer behaviors. The observational-behavioral realms dealt with so far are mostly verbal or verbal derivatives, with the exception of demonstrative description. Emotive description involves many descriptions with which methods and procedures were designed to cope. Methodological rule systems were designed primarily to eliminate, or at least to hold constant, "subjective" aspects of event observation and description by prodding us to follow consistent and prescriptive rules for making observations and translating them into descriptive data. For example, even field observers recognize the subjective element by their application of systematic (i.e., procedurally rule- governed) vs. unsystematic (i.e., random) observation. Nevertheless, as we have illustrated in our introduction, adherence to preconceptions of almost any sort continues to establish a selectivity to our observations. We do not argue that this should be, or even could be, eliminated. What we do argue is that such biases should be understood and described as an integral part of any systemic analysis. As such, it is useful to presently consider at least some of the potential categories of this domain.

As presently defined, emotive description is evident in and illustrated by: (a) any a priori selective attention to one domain and/or topic over another for investigation; (b) the inclusion of descriptive language which is connotatively laden as is typical of "propaganda" types of descriptions which utilize words with a clear emotionality or value-positioning; (c) in oral communications, the inflection, amplitude, speed, and intonations given to select words versus others; (d) the use of gestures and other nonverbal expressions to relate events; and (e) physical approach, or "taking-up," versus avoidance, or "putting-down," of events, as hypotheses are apt to lead us to do. These are but a few of the many forms of "hidden" descriptions which are always included, to one degree or another, in even the "most objective" descriptions.

Examples are too numerous to catalog, but we may briefly illustrate some of their variations. Thus to describe persistence in one form of behavior over variations and/ or persistence in another behavior as "helplessness" (as in "conditioned helplessness") versus "compulsiveness" (as in "compulsive gambling") or versus "habit," belies the persistent quality of the behavior's frequency in favor of its identification as somehow varying in general "acceptability." A behavioral phenomenon is what it is, but ascribing interpretative labels goes beyond simple symbolic representation and begins to include representations of both the observed event and evaluative events unique to the observer. At its extreme, this is a form of anthropomorphism. That is, the observer is describing his/her own characteristic response events along with those events he/ she observed outside of themselves.

Perhaps the more frequent utilization of emotive description in scientific communication appears at professional presentations, rather than in the printed media, where external editors can caution, cajole, or otherwise diminish the frequency of such descriptions. In oral deliveries, the words can be given a spontaneous (or not so spontaneous, in a great many cases) intonation, inflexion, and amplitude which characterizes the truly emotive domain. The teaching of science is far more encouraging of "enthusiastic" than "dry" descriptions of events. But that is because listener/consumer interest in the description is more clearly recognized and valued in the classroom ( i .e., with newly aspiring scientists) than in the scientific meeting rooms (i.e., with established scientists), and even less so in the scientific journals.

Emotive description eventually defines the Zeitgeist factors of the scientific enterprise and is indirectly indicated in many instances as much by what is done to avoid dissemination as what is done to champion a cause. Thus, Darwin's case of shelving treatise on natural selection until prompted by Wallace's manuscript tells us much about Darwin's descriptions of his findings and interpretations vis-à-vis social pressures of his time. Clearly, as any clinical psychologist will quickly attest, there is a logic (i.e., rule structure) suggested in the dynamics of emotive description. That logic reaches to the very foundation of what is, in the lay language, described by the terms "attitudes," "connotations," "feelings," and "values." Pavlovian conditioning is a primary process in establishing and generalizing such descriptive responses, but the mixture of emotive (connotative) and denotative meaning in language vastly complicates the tracking of the full generalization phenomenon. Thus we wish to suggest that emotive-descriptive behaviors are always with us in one form or another and that we should strive better to understand their rule structures, not only in scientific behaviors but in all behavioral systems. We will best do so by recognizing such behaviors and describing them within their systemic context. We also strongly suspect that the demonstrative-emotive organizational rules are somewhat different than those which govern demonstrative-verbal and demonstrative-artistic descriptions, as any drama director will quickly attest. Each has its own place, in that each is always evident. But each is not as equally recognized, described, and utilized by design and intent.

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